Research Papers: Imaging

Histological validation of near-infrared reflectance multispectral imaging technique for caries detection and quantification

[+] Author Affiliations
Silvia Salsone

University of Calabria, Doctorate School of Science and Technique B. Telesio, Rende, Italy

Andrew Taylor, Juliana Gomez, Iain Pretty, Roger Ellwood, Christian Zakian

University of Manchester, Dental Health Unit, School of Dentistry, Oxford Road, Manchester, M13 9PL, United Kingdom

Mark Dickinson

University of Manchester, Photon Science Institute, School of Physics and Astronomy, Oxford Road, Manchester, M13 9PL, United Kingdom

Giuseppe Lombardo

University of Calabria, CNR-IPCF Unit of Support Cosenza, LiCryL Laboratory, Rende, Italy

J. Biomed. Opt. 17(7), 076009 (Jul 06, 2012). doi:10.1117/1.JBO.17.7.076009
History: Received February 20, 2012; Revised June 3, 2012; Accepted June 5, 2012
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Abstract.  Near infrared (NIR) multispectral imaging is a novel noninvasive technique that maps and quantifies dental caries. The technique has the ability to reduce the confounding effect of stain present on teeth. The aim of this study was to develop and validate a quantitative NIR multispectral imaging system for caries detection and assessment against a histological reference standard. The proposed technique is based on spectral imaging at specific wavelengths in the range from 1000 to 1700 nm. A total of 112 extracted teeth (molars and premolars) were used and images of occlusal surfaces at different wavelengths were acquired. Three spectral reflectance images were combined to generate a quantitative lesion map of the tooth. The maximum value of the map at the corresponding histological section was used as the NIR caries score. The NIR caries score significantly correlated with the histological reference standard (Spearman's Coefficient=0.774, p<0.01). Caries detection sensitivities and specificities of 72% and 91% for sound areas, 36% and 79% for lesions on the enamel, and 82% and 69% for lesions in dentin were found. These results suggest that NIR spectral imaging is a novel and promising method for the detection, quantification, and mapping of dental caries.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Silvia Salsone ; Andrew Taylor ; Juliana Gomez ; Iain Pretty ; Roger Ellwood, et al.
"Histological validation of near-infrared reflectance multispectral imaging technique for caries detection and quantification", J. Biomed. Opt. 17(7), 076009 (Jul 06, 2012). ; http://dx.doi.org/10.1117/1.JBO.17.7.076009


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